This year's ACM SIGMOD competition winners have been announced ahead of the annual ACM SIGMOD PODS conference which is being June 22-27, in Berlin, Germany. 

SIGMOD, the Special Interest Group on Management of Data, is a part of the Association for Computing Machinery (ACM). SIGMOD focuses on the principles, techniques, and applications of database management systems and data management technology. The annual competition, which is open to students from degree-granting institutions, offers undergraduate and graduate students a forum to experience the research world and present their research results to conference.

Similar competitions have been held at a number of other SIG-sponsored conferences, including SIGGRAPH, FSE, PLDI, and MobiCom. 

The annual ACM SIGMOD/PODS conference is aimed at database researchers, developers, and users, with a technical program with research and industrial talks, tutorials, demos, and focused workshops. It also hosts a poster session to learn about innovative technology, an industrial exhibition to meet companies and publishers, and a careers-in-industry panel. 

This year's SIGMOD 2025 programming contest ran from February 2025. Entrants were asked to implement an efficient in-memory join pipeline executor and operators. Successful entries would show great performance on different hardware architectures. The base tables of the join pipeline were provided as in-memory tables along with necessary metadata, and the join pipeline (of two to seven joins without other operators) is given as a predetermined plan.

The judges measured the end-to-end runtime until the output in-memory table was fully computed. Implementations could utilize a wide variety of techniques including multi-threading, bloom filtering, join ordering, SIMD and other hardware features, but the same code is compiled and evaluated on the different hardware platforms (Intel, AMD, ARM, Power), which are hosted at the Hasso Plattner Institute (HPI). The test involved executing five complete runs of the entire query set (983 queries).

The winning solution was developed by Team SortMergeJoins. The team members, from the Technical University of Munich, were Altan Birler, Tobias Schmidt, Stefan Lehner, Maximilian Rieger, Simon Ellmann, Maximilian Reif and Adrian Riedl. Their solution achieved a mean time of 2.67. The next best mean time was 7.03. from the Kirara team from the Beijing Institute of Technology and Xidian University. 

The code for the winning entry can be viewed on GitHub.

More Information

SIGMOD PODS Conference 2025 Website

Winning Entry Code On GitHub

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